Found results (37):

Supplementary Figures of "Transport Patterns of Global Aviation NOx and their Short-term O3 Radiative Forcing – A Machine Learning Approach"
Posted on 2022-10-17T10:40:20
Wetland Classification with Deep ResU-Net Convolutional Neural Network and Multitemporal Sentinel-1 & 2 Imagery and ALOS Elevation Data: A Case Study in Alberta Parkland & Grassland Natural Region, Canada
Posted on 2022-09-19T07:12:17
Dataset underlying the research on physical fatigue detection in running using inertial measurement units (IMUs)
Posted on 2021-03-29T08:07:36
Supplementary Data of "Transport Patterns of Global Aviation NOx and their Short-term O3 Radiative Forcing – A Machine Learning Approach"
Posted on 2022-12-09T07:37:15
Machine learning-based classification model corresponding to the paper 'Machine learning to improve orientation estimation in sports situations challenging for inertial sensor use'
Posted on 2021-07-13T09:54:01
Beyond the Hype: Deep Neural Networks Outperform Established Methods Using A ChEMBL Bioactivity Benchmark Set [version 1]
Posted on 2017-07-31T00:00:00
Beyond the Hype: Deep Neural Networks Outperform Established Methods Using A ChEMBL Bioactivity Benchmark Set
Posted on 2019-01-22T00:00:00
Soil organic carbon stock and uncertainties, 30cm and 1m depth, at 250m spatial resolution in Canada, version 3.0
Posted on 2021-12-29T17:35:48
Soil organic carbon stock and uncertainties, 30cm and 1m depth, at 250m spatial resolution in Canada, version 3.0
Posted on 2022-01-05T07:46:49
Soil organic carbon stock and uncertainties, 1m depth, at 250m spatial resolution in Canada, version 2.0
Posted on 2021-09-28T06:32:46
Soil organic carbon stock and uncertainties, 1m depth, at 250m spatial resolution in Canada
Posted on 2021-05-18T06:22:18
Research data of the PhD thesis: Calculated Moves: Generating Air Combat Behaviour
Posted on 2020-01-15T00:00:00
Code supporting the paper: A Bayesian finite-element trained machine learning approach for predicting post-burn contraction
Posted on 2023-01-31T08:02:12
Code supporting the paper: 1D neural network
Posted on 2022-10-28T13:06:36
Data presented in the paper: "On-the-fly construction of surrogate constitutive models for concurrent multiscale mechanical analysis through probabilistic machine learning"
Posted on 2020-09-30T12:57:08
Dataset on surface water features of the Júcar River Basin, Valencia (Spain) to predict nitrate concentration.
Posted on 2022-12-20T08:05:03
Dataset on surface water features of the Júcar River Basin, Valencia (Spain) to predict nitrate concentration.
Posted on 2022-12-19T12:54:47
Data and scripts underlying the publication: Timely poacher detection and localization using sentinel animal movement
Posted on 2021-02-15T15:18:44
Data and scripts underlying the publication: Timely poacher detection and localization using sentinel animal movement
Posted on 2021-02-16T11:42:40
Papyrus - A large scale curated dataset aimed at bioactivity predictions
Posted on 2021-10-29T08:59:17
Papyrus - A large scale curated dataset aimed at bioactivity predictions
Posted on 2022-04-04T11:43:10
Papyrus - A large scale curated dataset aimed at bioactivity predictions
Posted on 2021-11-01T08:10:41
Source code for the paper "Constructing Phylogenetic Networks via Cherry Picking and Machine Learning"
Posted on 2023-03-30T11:03:09
Soil organic carbon concentration of Canada, at six soil depths, 250m spatial resolution
Posted on 2021-09-15T19:21:54
Training and validation datasets for training probabilistic machine learning models on NREL's 10-MW reference wind turbine
Posted on 2023-01-25T11:05:41
Some of the data underlying the publication "Fighting the curse of dimensionality: A machine learning approach to finding global optima"
Posted on 2021-12-03T07:44:46
NEESI: Numerical Experiments of Estuarine Salt Intrusion dataset
Posted on 2023-03-20T12:03:46
Guiding the specification of sociotechnical ML systems - Interview transcripts
Posted on 2022-05-20T14:35:00
Model for the dynamic behaviour in magnetic nanoparticles: scripts and experimental data
Posted on 2021-12-13T09:59:03
Data presented in the paper: A Novel Instrument for Bed Dynamics Observation Supports: Machine Learning Applications in Mangrove Biogeomorphic Processes
Posted on 2020-05-24T00:00:00
Dataset of Element Compositions and Mean Zircon Hafnium Isotopes of Igneous Rocks underlying the research: A test of the hypothesis that syn-collisional felsic magmatism contributes to continental crustal growth
Posted on 2021-11-15T15:31:55
Data underlying the publication: Pinpointing stage-specific causes of recruitment bottlenecks to optimize seed-based wetland restoration
Posted on 2022-11-02T15:14:10
OECD R&D Yearly Innovation Dataset
Posted on 2021-09-07T16:40:57
Sample data for simulation in Jing-Jin-Ji region
Posted on 2020-05-11T00:00:00
Annotated genomes used in the publication: Machine learning approaches to predict the plant-associated phenotype of Xanthomonas strains
Posted on 2021-07-08T10:58:03
Matlab fig files for the paper 'Experimental gas-fluidized bed drying study on the segregation and mixing dynamics for binary and ternary solids'
Posted on 2023-05-08T14:04:35
Matlab fig files for the paper 'Experimental gas-fluidized bed drying study on the segregation and mixing dynamics for binary and ternary solids'
Posted on 2023-04-21T15:49:02